LDPC-Based Lossless Compression of Nonstationary Binary Sources Using Sliding-Window Belief Propagation
LDPC-Based Lossless Compression of Nonstationary Binary Sources Using Sliding-Window Belief Propagation
复制标题
使用滑动窗口置信传播的基于 LDPC 的非平稳二进制源无损压缩
DOI：
10.1109/tcomm.2012.080212.110108a
复制
发表时间：
2012-11-01
影响因子：
8.3
通讯作者：
Fang, Yong
中科院分区：
文献类型：
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作者：
Fang, Yong
低密度奇偶校验（LDPC）码已被用于实现无损分布式或常规信源编码。然而，块级LDPC码难以像传统的符号级熵编码技术那样适应变化的信源统计。在本文中，我们提出了滑动窗口置信传播（SWBP）算法，它能够同时恢复源和细化的估计变化的源统计。SWBP易于实现，并在仿真中表现良好。
Low-density parity-check (LDPC) codes have been used to implement lossless distributed or conventional source coding. However, block-wise LDPC codes are difficult to adapt to varying source statistics as traditional symbol-wise entropy coding techniques. In this paper, we propose the sliding-window belief propagation (SWBP) algorithm which is able to simultaneously recover the source and refine the estimate of varying source statistics. The SWBP is easy to implement and performs well in simulations.